首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    'Augmentation For Web Conference Participants' in Patent Application Approval Process (USPTO 20240087177)

    134-136页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors Dhillon, Jill S. (Laguna Niguel, CA, US); LIANG, YANG (Beijing, CN); Liu, Su (Au stin, TX, US); Pizana, Luis Osvaldo (Austin, TX, US), filed on September 14, 202 2, was made available online on March 14, 2024, according to news reporting orig inating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “The present disclosure relates generally to the field of computing, and in particular, to augmentation for web conference parti cipants. “Web conferencing software facilitates communication between individuals online via transmission of audio/video (A/V) data of the individuals in real-time over a network.”

    Patent Application Titled 'Finding Similar Participants In A Federated Learning Environment' Published Online (USPTO 20240086780)

    136-138页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Mehta, Sameep (BANGALORE, IN); Soni, Soujanya (BANGALORE, IN), filed on Se ptember 12, 2022, was made available online on March 14, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Federated learning, also known as collaborative learning, is a machine learning technique that trains an algorithm across multiple decentrali zed edge devices or servers holding local data samples, without exchanging the d ata samples. This approach stands in contrast to traditional centralized machine learning techniques where all the local datasets are uploaded to one server, as well as to more classical decentralized approaches which often assume that loca l data samples are identically distributed. Federated learning enables multiple actors to build a common, robust machine learning model without sharing data, th us allowing to address critical issues such as data privacy, data security, data access rights and access to heterogeneous data.”

    'Method For Validating Or Verifying A Technical System' in Patent Application Approval Process (USPTO 20240085897)

    139-143页
    查看更多>>摘要:“A technical system comprises components, wherein the system can be understood t o define interactions and/or interrelations between the components. For example, a control system of a robot such as an autonomous vehicle typically comprises c omponents for sensing an environment of the robot, for planning actions of the r obot in such an environment and for determining control signals to actuators of the robot to execute the planned actions.

    Patent Issued for Battery pack for a mobile robot (USPTO 11926045)

    144-147页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent by the inventors Altman, Vlad imir (Pittsburgh, PA, US), Galluzzo, Thomas (Gibsonia, PA, US), filed on March 2 2, 2021, was published online on March 12, 2024, according to news reporting ori ginating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11926045 is assigned to IAM Robotics LLC (Pittsburgh, Pennsylvania, United States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “The recent development of robotic devices, and in particular autonomous robotic devices which use battery power, has been signi ficant. These devices find use in a large number of environments, and are config ured to perform a wide range of functions. For example, small battery powered cl eaning robots, such as detailed in U.S. Pat. Nos. 7,031,805 and 9,550,294, are c onfigured to vacuum floors in residential and small commercial settings. These r obots include batteries which may be recharged when the robot docks with a charg ing station. In general, these small robots are able to complete their assigned tasks on a single battery charge, and thus the down-time associated with recharg ing does not pose a problem (i.e., the battery is recharged before the floors ne ed to be cleaned again).

    Patent Issued for Methods for finding the perimeter of a place using observed coordinates (USPTO 11927450)

    147-151页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors: “For autonomous or semi-autonomous robotic devices to opera te autonomously or with minimal input and/or external control within an environm ent, methods for mapping the environment are helpful such that the robotic devic e may autonomously remain and operate within the environment. Methods for mappin g an environment have been previously proposed. For example, the collection and storage of a large amount of feature points from captured images of an environme nt wherein recognizable landmarks among the data may be identified and matched f or building and updating a map has been proposed. Such methods can require signi ficant processing power and memory due to the large amount of feature points ext racted from the captured images, their storage and sophisticated techniques used in creating the map. For example, some methods employ an EKF technique where the pose of the robotic device and the position of features within the map of the environment are estimated and stored in a complete state vector while uncertaint ies in the estimates are stored in an error covariance matrix. The main drawback is the computational power required to process a large number of features havin g large total state vector and covariance matrix. Further, methods employing EKF can require accurate measurement noise covariance matrices a priori as inaccura te sensor statistics can lead to poor performance. Other methods of mapping an e nvironment use a distance sensor of the robotic device to measure distances from the distance sensor to objects within the environment while tracking the positi on of the robotic device. For example, a method has been proposed for constructi ng a map of the environment by rotating a distance sensor 360-degrees at a measu red rotational velocity while taking distance measurements to objects within the environment. While this method is simple, the method is limited as the mapping process of the environment relies on the distance sensor initially rotating 360- degrees. If the distance sensor is installed on a robotic device, for example, the robotic device may rotate 360-degrees initially to finish mapping the environ ment before performing work. Another similar method provides that the robotic de vice may immediately translate and rotate while measuring distances to objects, allowing it perform work while simultaneously mapping. The method however uses E KF SLAM approach requiring significant processing power. Some mapping methods de scribe the construction of an occupancy map, where all points in the environment are tracked, including perimeters, empty spaces, and spaces beyond perimeters, and assigned a status, such as “occupied,” “unoccupied,” or “unknown.” This appr oach can have high computational costs. Other methods require the use of additio nal components for mapping, such as beacons, which must be placed within the env ironment. This is undesirable as additional components increase costs, take up s pace, and are unappealing to have within, for example, a consumer home.

    Researchers Submit Patent Application, 'Cable Robot', for Approval (USPTO 202400 83019)

    152-155页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors: “Ceiling-mounted robots are also known in the art, as for e xample from German patent publication 102008 013 729, published on 17 Sep. 2009. The objective is to allow the robotic arm to access and work within a large ran ge while allowing mobility in the free space above objects within the work area. “Cable robots have been proposed in the academic and patent literature but are n ot in widespread use in industry. A cable robot is a robot or robotic platform t hat is held in space using cables so that the robot can be moved throughout a re latively large space or volume in comparison with articulated arm robots. To pro vide stability, most cable robot systems have cables that support the weight of the robotic platform from above as well as cables that stabilize the platform fr om below. An example is described in U.S. Pat. No. 7,753,642. While the stabilit y can be satisfactory, the encumbrance of the lower stabilizing cables defeats the advantages of the mobility of a cable robot.

    'Robotic Post' in Patent Application Approval Process (USPTO 20240085924)

    156-159页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “There are many cases in which physical devices are used in a variety of settings involving groups of people and/or objects, suc h as in the formation of posts and lines to demark crowd control areas or permit ted pathways for movement. These provide regions which may be fluid, and tend to require manpower to continually reconfigure them. The posts themselves provide opportunities for gathering/inferring/presenting/rendering/conveying information which may be optical, visual, or otherwise. Robotic devices of this sort may se rve a variety of purposes in both gathering/ inferring/presenting/rendering/conve ying information and demarking areas.”

    On the Preservation of Africa's Cultural Heritage in the Age of Artificial Intel ligence

    159-159页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from os f.io: “In this paper we delve into the historical evolution of data as a fundamental e lement in communication and knowledge transmission. “The paper traces the stages of knowledge dissemination from oral traditions to the digital era, highlighting the significance of languages and cultural diversi ty in this progression. It also explores the impact of digital technologies on m emory, communication, and cultural preservation, emphasizing the need for promot ing a culture of the digital (rather than a digital culture) in Africa and beyon d. Additionally, it discusses the challenges and opportunities presented by data biases in AI development, underscoring the importance of creating diverse datas ets for equitable representation.